What role does generative AI play in the Transform phase of IBM watsonx Code Assistant for Z?
Select an answer to reveal the explanation.
Short Explanation
Think of it like working hands-on with IBM mainframe systems — the right move is generating idiomatic Java source from COBOL with a fine-tuned large language model, then letting you review it. During Transform, wca4z sends COBOL source with context to that model, and you approve the output instead of letting it deploy itself. On real mainframe exams, this concept comes up repeatedly, so lock it in.
Full Explanation
Transform sends COBOL with context to a fine-tuned LLM generating idiomatic Java source for developer review. It doesn't compile to bytecode, auto-deploy to Kubernetes, or convert WORKING-STORAGE to schemas.